Prediction of the Effect of Using Stone Column in Clayey Soil on the Behavior of Circular Footing by ANN Model

  • Omar Khaleel Ismael Al-Kubaisi College of Engineering-University of Baghdad
Keywords: stone column, circular footing, ground improvement, artificial neural network, bending moment, and shear forces.

Abstract

Shallow foundations are usually used for structures with light to moderate loads where the soil underneath can carry them. In some cases, soil strength and/or other properties are not adequate and require improvement using one of the ground improvement techniques. Stone column is one of the common improvement techniques in which a column of stone is installed vertically in clayey soils. Stone columns are usually used to increase soil strength and to accelerate soil consolidation by acting as vertical drains. Many researches have been done to estimate the behavior of the improved soil. However, none of them considered the effect of stone column geometry on the behavior of the circular footing. In this research, finite element models have been conducted to evaluate the behavior of a circular footing with different stone column configurations. Moreover, an Artificial Neural Network (ANN) model has been generated for predicting these effects. The results showed a reduction in the bending moment, the settlement, and the vertical stresses with the increment of the stone column length, while both the horizontal stress and the shear force were increased. ANN model showed a good relationship between the predicted and the calculated results.

 

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Published
2018-05-01
How to Cite
Al-Kubaisi, O. (2018) “Prediction of the Effect of Using Stone Column in Clayey Soil on the Behavior of Circular Footing by ANN Model”, Journal of Engineering, 24(5), pp. 86-97. doi: 10.31026/j.eng.2018.05.06.